ML Infrastructure Engineering Manager

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineering Manager in Sunnyvale, CA to lead multiple teams on designing, implementing, and analyzing low-level computer systems and their interactions with kernel and hardware. You will guide team strategy, manage budgets, and oversee large-scale projects across sites globally.

You will manage engineers across teams, contribute to product strategy, and drive reliability, efficiency and velocity in Google Cloud and AI infrastructure initiatives.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 3 years in large-scale infrastructure, distributed systems, compute/storage/hardware related work.
• 3 years in a technical leadership role.
• 2 years in people management or team leadership.
• Preferred: system software, distributed systems, multi-component software, C/C++ programming.
• Familiarity with Linux kernel interface, containers, reliability, efficiency and scale.
• Basic data analysis and SQL skills.

Responsibilities

• Set and communicate team priorities aligned with organizational goals.
• Establish expectations and conduct regular performance development discussions.
• Develop mid-term technical goals and roadmaps for teams.
• Design and vet system architectures; write or review code.
• Review peers' code to ensure best practices and quality.

Skills

8 years of software development

Large-scale infrastructure

Technical leadership

People management

System software

C/C++ programming

Linux kernel interface

Containers

Performance analysis

SQL basics

Education

Bachelor’s degree or equivalent practical experience

Tools

Linux

Containers

C/C++

Job description

Google is seeking a Software Engineering Manager in Sunnyvale, CA to lead multiple teams on designing, implementing, and analyzing low-level computer systems and their interactions with kernel and hardware. You will guide team strategy, manage budgets, and oversee large-scale projects across sites globally.

You will manage engineers across teams, contribute to product strategy, and drive reliability, efficiency and velocity in Google Cloud and AI infrastructure initiatives.